Exploring ER/Studio Release 20.3: Enhancing Data Management with Git Integration
ER/Studio continues to evolve, and the latest release, version 20.3, introduces significant updates that streamline data management processes, particularly with the integration of Git repositories. This update brings a suite of powerful features designed to enhance the functionality of ER/Studio, making it even more indispensable for data professionals. Here’s a closer look at what’s new in version 20.3.
Git Integration: Connecting Data Modeling into your CI/CD Pipelines
One of the standout features of ER/Studio 20.3 is its robust Git integration, which is set to transform how users manage and version their data models. The development process allows users to commit versions of the Create DDL or JSON for an asset directly to your Git repository. Furthermore, it’s important to have scripts that upgrade existing schemas to the latest version for databases. Thus, you can use our Compare/Merge features to take a previous database version to the latest by generating appropriate ALTER scripts.
Generate and Commit DDL or JSON to Git Repositories
Compare and Generate ALTER Scripts
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Supported Git Implementations
ER/Studio 20.3 supports various Git repositories, ensuring flexibility and compatibility with your existing DevOps tools. The supported Git implementations include:
Benefits of the ER/Studio 20.3 Git Integration
Leverage ER/Studio 20.3 for Advanced Data Management
ER/Studio 20.3 represents a significant leap forward to integrate ER/Studio into your CI/CD processes to support an effective DevOps program. The new Git integration enhances collaboration, ensures robust version management, and empowers users, giving them better control over their data models. Whether using GitHub, GitLab, Bitbucket, Azure Repos, or Assembla, ER/Studio’s latest update has the tools to streamline your data workflows.
Explore ER/Studio 20.3 Today
Ready to explore the new features of ER/Studio 20.3? Request a demo today to see how Git integration and other enhancements can transform your data management.